Ensuring federated learning reliability for infrastructure-enhanced autonomous driving
The application of machine learning techniques, particularly in the context of autonomous driving solutions, has grown exponentially in recent years.
Benjamin Acar, Marius Sterling
doaj +1 more source
Evolution of the ATLAS TDAQ online software framework towards Phase-II upgrade: Use of Kubernetes as an orchestrator of the ATLAS Event Filter computing farm [PDF]
The ATLAS experiment at the LHC at CERN continuously evolves its TDAQ system to meet the challenges of new physics goals and technological advancements.
Corso Radu Alina +5 more
doaj +1 more source
Topology-aware GPU scheduling for learning workloads in cloud environments [PDF]
Recent advances in hardware, such as systems with multiple GPUs and their availability in the cloud, are enabling deep learning in various domains including health care, autonomous vehicles, and Internet of Things.
Amaral, Marcelo +4 more
core +1 more source
Serverless High-Performance Computing over Cloud
HPC clouds may provide fast access to fully configurable and dynamically scalable virtualized HPC clusters to address the complex and challenging computation and storage-intensive requirements.
Petrosyan Davit, Astsatryan Hrachya
doaj +1 more source
Perbandingan Kinerja Kubernetes Cluster dengan Virtualisasi KVM, Vagrant dan LXD
Perkembangan teknologi yang dapat mengemas sebuah aplikasi dan kebutuhannya dalam sebuah virtualisasi yang disebut container, oleh sebab itu dibutuhkan sebuah software yang dapat melakukan management terhadap container, salah satunya adalah docker ...
Muhammad Arif Fadhly Ridha +1 more
doaj +1 more source
Performance Evaluation of Microservices Architectures using Containers [PDF]
Microservices architecture has started a new trend for application development for a number of reasons: (1) to reduce complexity by using tiny services; (2) to scale, remove and deploy parts of the system easily; (3) to improve flexibility to use ...
Amaral, Marcelo +5 more
core +2 more sources
Overview of Kubernetes CNI plugins performance
Containerisation and microservices architecture are getting momentum in nowadays ICT field. Containers are deployed in both public and private cloud environments and usually for flexibility purposes are deployed in VM (Virtual Machines) environment ...
Narūnas Kapočius
doaj +1 more source
K-TAHP: A Kubernetes Load Balancing Strategy Base on TOPSIS+AHP
Kubernetes is an orchestration platform designed for containerized applications,allows the application provider to scale automatically to match the flfluctuating intensity of processing demand. Container cluster technology is used to encapsulate, isolate,
Rong Gao, Xiaolan Xie, Qiang Guo
doaj +1 more source
Adaptive fog service placement for real-time topology changes in Kubernetes clusters
Recent trends have caused a shift from services deployed solely in monolithic data centers in the cloud to services deployed in the fog (e.g. roadside units for smart highways, support services for IoT devices).
De Turck, Filip +2 more
core +1 more source
Deploying Jupyter Notebooks at scale on XSEDE resources for Science Gateways and workshops
Jupyter Notebooks have become a mainstream tool for interactive computing in every field of science. Jupyter Notebooks are suitable as companion applications for Science Gateways, providing more flexibility and post-processing capability to the users ...
Jette Morris A. +3 more
core +1 more source

